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Data Scientist | IndegeneNov 2019 - Jan 2020 (2 months)
• Worked on Email Click-through rate prediction of emails sent in marketing campaigns. • Worked with data from various distribution channels and campaigns. • Dealt with data querying, cleaning, scraping, analysis, modeling and high class imbalance. • Increased the F1 score of the existing solution (using the random forest algorithm) by 46%. • The solution involved heavy feature engineering and the use of Bayesian Hyperparameter tuning on ensemble of LightGBM and CatBoost models.